Deep Learning A-Z: Hands-On Artificial Neural Networks by Kirill Eremenko and Hadelin de Ponteves will teach you Deep Learning with Artificial Neural Networks. You will work with Tensorflow and Pytorch to build several different types of Neural Networks. Data Science: Deep Learning in Python by Lazy Programmer Inc. will teach you build Neural Networks from scratch in Python, numpy & TensorFlow. You will learn about the various types and terms associated to neural networks. Natural Language Processing with Deep Learning in Python by Lazy Programmer Inc. will teach you everything about deriving and implementing word2vec, GLoVe, word embeddings, and sentiment analysis with recursive nets.

This week in Vienna kicks off an incredibly important global discussion happening at Electrify Europe; energy, electricity, and the transformation of our entire power structure. Have you thought about how we will power 100 billion connected things, as well as, support all the electric vehicles set to disrupt the combustion engine automotive industry? In an electricity sector undergoing rapid change and transition, it's vital for us to wrap our minds around the implications on the industry as a whole. Most of us are keenly aware of the conversations happening around Artificial Intelligence, Machine Learning, Blockchain, etc,, but I find it interesting that what powers our future is energy and I'm not hearing much discussion at the global events I have been keynoting this year on what's going to keep the lights on. That's when I found, Electrify Europe, a conference dedicated to bringing together thousands of innovators and thought leaders to discuss how the latest technologies will affect us, and how we can all benefit from evolving our businesses to position them for success in the future.

We propose a novel online algorithm for training deep feedforward neural networks that employs alternating minimization (block-coordinate descent) between the weights and activation variables. It extends off-line alternating minimization approaches to online, continual learning, and improves over stochastic gradient descent (SGD) with backpropagation in several ways: it avoids the vanishing gradient issue, it allows for non-differentiable nonlinearities, and it permits parallel weight updates across the layers. Unlike SGD, our approach employs co-activation memory inspired by the online sparse coding algorithm of [Mairal et al, 2009]. Furthermore, local iterative optimization with explicit activation updates is a potentially more biologically plausible learning mechanism than backpropagation. We provide theoretical convergence analysis and promising empirical results on several datasets.

This article was written by Monica Rogati. Monica is an independent data science executive and advisor. She built key data products and teams at Jawbone and LinkedIn; she now helps companies make the most out of their data. Do a project you care about. Make it good and share it. A quick search yields a plethora of possible resources that could help -- MOOCs, blogs, Quora answers to this exact question, books, Master's programs, bootcamps, self-directed curricula, articles, forums and podcasts.

As the amount of data continues to grow at an almost incomprehensible rate, being able to understand and process data is becoming a key differentiator for IT professionals and data-scientists. The scikit-learn library is one of the most popular platforms for everyday Machine Learning and data science because it is built upon Python, a fully featured programming language. This comprehensive 2-in-1 course is a comprehensive, practical guide to master the basics and learn from real-life applications of machine learning. Learn how to build and evaluate the performance of efficient models using scikit-learn. This training program includes 2 complete courses, carefully chosen to give you the most comprehensive training possible.

Increasing retention by just 10 percent will boost your business value by more than 30 percent. And AI is what can take you there, helping you anticipate customer needs, create personalized campaigns, identify high-value customers and more. Learn how to do it with marketing automation platforms powered by AI when you join this VB Live event! "Mobile marketers are generally using only five percent of their available data," says Kara Dake, VP of Growth and Partnerships at CleverTap. "You're gathering a ton of information, but it's a challenge, knowing what to do with all that data, and so many data points."

On 18 June, UAE's Minister of State for Artificial Intelligence (AI) Mr Omar Sultan Al Olama signed a Memorandum of Understanding (MoU) with the Dr Ali Sebaa Al Marri, Executive President of Mohammed Bin Rashid School of Government (MBRSG), to enhance cooperation and empower young Emiratis. The collaboration seeks to help prepare a future generation of leaders by honing their leadership skills, developing their practical experience and enhancing their knowledge in employing AI technology in government work through training, educational courses and workshops. At the MoU signing ceremony, Minister Al Olama highlighted the potentials of using AI for innovation solutions and the importance of empower future leaders to use the technology. According to him, the creation of government services, programmes and initiatives that enhance the quality of life in the community and support having a competitive knowledgeable economy requires tools, skills and future potentials. "Preparing young Emiratis in AI and the use of its techniques to create innovative solutions to future challenges, supports the vision and directives of our (the UAE's) leadership, to strengthen the UAE's position as a global hub in the use of AI to shape the future," said Minister Al Olama.

After a hugely successful two days in 2017, Insurance Nexus are delighted to announce that our Insurance Analytics Canada Summit will be returning to Toronto in 2018, September 25-26, at the Westin Prince Hotel. Written by insurance carriers, for insurance carriers, Insurance Analytics Canada is Canada's largest analytics summit and the only conference to focus exclusively on new strategies for embedding AI and advanced analytics in insurance. Over 300 C-level attendees will learn from the experts on how to seamlessly integrate new technologies alongside legacy systems, and how AI and advanced analytics canaccelerate underwriting, fast-track claims and ultimately, make their organization stand out in a hugely competitive insurance market. Specifically tailored to the Canadian insurance market, Insurance Analytics Canada will feature multiple tracks, each focusing on salient issues identified by Canadian insurers. Confirmed speakers include Desjardins' Senior Vice President of State Farm, Barbara Bellissimo, who will cut through the hype to discuss the realistic benefits and applications of AI, as well as Intact's Vice President and Chief Data Officer, Jean-François Lessard and Anne Foat, Global Digital Transformation Officer at Sun Life Financial. Insurance Analytics Canada will also feature more interactivity than ever before; remote polling will gather the audience's perspectives on pressing issues and attendees will be able to submit their own questions to our expert speakers using the Slido platform.

Join us for a series of talks on how AI is making XR an even more powerful medium. We'll begin with an overview of how to think about artificial intelligence and it's applications in XR, followed by talks that introduce different AI products into the XR ecosystem. Hugh will outline the three ways XR developers, designers and entrepreneurs should be thinking about AI, and give some examples, including an open source Unity plugin Aquinas are developing for data capture & encoding 2. AI Assistants: David Gene Oh, Samsung Bixby. David will talk about AI assistants and what Samsung is doing 3. Conversational Interfaces: Jeff Meador, Portico True Talk. Jeff will talk about how Portico is using their amazing conversational interface for employee training in XR.

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